[Docs] Pick seg fastdeploy docs from PaddleSeg (#1482)

* [Docs] Pick seg fastdeploy docs from PaddleSeg * [Docs] update seg docs * [Docs] Add c&csharp examples for seg * [Docs] Add c&csharp examples for seg * [Doc] Update paddleseg README.md * Update README.md
2025-10-26 10:00:33 +08:00 · 2023-03-17 11:22:46 +08:00
parent 3b1343c726
commit 5b143219ce
177 changed files with 1019 additions and 815 deletions
--- a/examples/vision/segmentation/paddleseg/semantic_segmentation/cpu-gpu/c/infer.c
+++ b/examples/vision/segmentation/paddleseg/semantic_segmentation/cpu-gpu/c/infer.c
@@ -0,0 +1,146 @@
+// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include <stdio.h>
+#include <stdlib.h>
+
+#include "fastdeploy_capi/vision.h"
+
+#ifdef WIN32
+const char sep = '\\';
+#else
+const char sep = '/';
+#endif
+
+void CpuInfer(const char* model_dir, const char* image_file) {
+  char model_file[100];
+  char params_file[100];
+  char config_file[100];
+  int max_size = 99;
+  snprintf(model_file, max_size, "%s%c%s", model_dir, sep, "model.pdmodel");
+  snprintf(params_file, max_size, "%s%c%s", model_dir, sep, "model.pdiparams");
+  snprintf(config_file, max_size, "%s%c%s", model_dir, sep, "deploy.yaml");
+
+  FD_C_RuntimeOptionWrapper* option = FD_C_CreateRuntimeOptionWrapper();
+  FD_C_RuntimeOptionWrapperUseCpu(option);
+
+  FD_C_PaddleSegModelWrapper* model = FD_C_CreatePaddleSegModelWrapper(
+      model_file, params_file, config_file, option, FD_C_ModelFormat_PADDLE);
+
+  if (!FD_C_PaddleSegModelWrapperInitialized(model)) {
+    printf("Failed to initialize.\n");
+    FD_C_DestroyRuntimeOptionWrapper(option);
+    FD_C_DestroyPaddleSegModelWrapper(model);
+    return;
+  }
+
+  FD_C_Mat im = FD_C_Imread(image_file);
+
+  FD_C_SegmentationResult* result = FD_C_CreateSegmentationResult();
+
+  if (!FD_C_PaddleSegModelWrapperPredict(model, im, result)) {
+    printf("Failed to predict.\n");
+    FD_C_DestroyRuntimeOptionWrapper(option);
+    FD_C_DestroyPaddleSegModelWrapper(model);
+    FD_C_DestroyMat(im);
+    free(result);
+    return;
+  }
+
+  // print res
+  char res[2000];
+  FD_C_SegmentationResultStr(result, res);
+  printf("%s", res);
+
+  FD_C_Mat vis_im = FD_C_VisSegmentation(im, result, 0.5);
+
+  FD_C_Imwrite("vis_result.jpg", vis_im);
+  printf("Visualized result saved in ./vis_result.jpg\n");
+  FD_C_DestroyRuntimeOptionWrapper(option);
+  FD_C_DestroyPaddleSegModelWrapper(model);
+  FD_C_DestroySegmentationResult(result);
+  FD_C_DestroyMat(im);
+  FD_C_DestroyMat(vis_im);
+}
+
+void GpuInfer(const char* model_dir, const char* image_file) {
+  char model_file[100];
+  char params_file[100];
+  char config_file[100];
+  int max_size = 99;
+  snprintf(model_file, max_size, "%s%c%s", model_dir, sep, "model.pdmodel");
+  snprintf(params_file, max_size, "%s%c%s", model_dir, sep, "model.pdiparams");
+  snprintf(config_file, max_size, "%s%c%s", model_dir, sep, "deploy.yaml");
+
+  FD_C_RuntimeOptionWrapper* option = FD_C_CreateRuntimeOptionWrapper();
+  FD_C_RuntimeOptionWrapperUseGpu(option, 0);
+
+  FD_C_PaddleSegModelWrapper* model = FD_C_CreatePaddleSegModelWrapper(
+      model_file, params_file, config_file, option, FD_C_ModelFormat_PADDLE);
+
+  if (!FD_C_PaddleSegModelWrapperInitialized(model)) {
+    printf("Failed to initialize.\n");
+    FD_C_DestroyRuntimeOptionWrapper(option);
+    FD_C_DestroyPaddleSegModelWrapper(model);
+    return;
+  }
+
+  FD_C_Mat im = FD_C_Imread(image_file);
+
+  FD_C_SegmentationResult* result = FD_C_CreateSegmentationResult();
+
+  if (!FD_C_PaddleSegModelWrapperPredict(model, im, result)) {
+    printf("Failed to predict.\n");
+    FD_C_DestroyRuntimeOptionWrapper(option);
+    FD_C_DestroyPaddleSegModelWrapper(model);
+    FD_C_DestroyMat(im);
+    free(result);
+    return;
+  }
+
+  // print res
+  char res[2000];
+  FD_C_SegmentationResultStr(result, res);
+  printf("%s", res);
+
+  FD_C_Mat vis_im = FD_C_VisSegmentation(im, result, 0.5);
+
+  FD_C_Imwrite("vis_result.jpg", vis_im);
+  printf("Visualized result saved in ./vis_result.jpg\n");
+  FD_C_DestroyRuntimeOptionWrapper(option);
+  FD_C_DestroyPaddleSegModelWrapper(model);
+  FD_C_DestroySegmentationResult(result);
+  FD_C_DestroyMat(im);
+  FD_C_DestroyMat(vis_im);
+}
+
+int main(int argc, char* argv[]) {
+  if (argc < 4) {
+    printf(
+        "Usage: infer_demo path/to/model_dir path/to/image run_option, "
+        "e.g ./infer_model ./ppseg_model_dir ./test.jpeg 0"
+        "\n");
+    printf(
+        "The data type of run_option is int, 0: run with cpu; 1: run with gpu"
+        "\n");
+    return -1;
+  }
+
+  if (atoi(argv[3]) == 0) {
+    CpuInfer(argv[1], argv[2]);
+  } else if (atoi(argv[3]) == 1) {
+    GpuInfer(argv[1], argv[2]);
+  }
+  return 0;
+}